Langtail

Langtail is a comprehensive low-code platform specifically engineered to address the challenges of developing, testing, and deploying applications powered by Large Language Models (LLMs). Recognizing the unpredictable nature of LLM outputs, Langtail provides developers, AI teams, and even non-technical stakeholders with the tools to regain control, ensure consistency, and secure their AI applications. It acts as a central hub for the entire LLM lifecycle, from prompt experimentation and collaborative refinement to rigorous testing, deployment, and production monitoring. By offering an intuitive, spreadsheet-like interface and a powerful AI Firewall, Langtail empowers teams to build more reliable, predictable, and safe AI products, catching potential bugs and vulnerabilities before they ever impact users.

How to use Langtail

Getting started with Langtail is designed to be a straightforward process for the entire team.

1. Prompt Management: Begin by creating or importing your LLM prompts into the Langtail playground. This collaborative space allows product, engineering, and business teams to manage and refine prompts together.
2. Testing with Real Data: Utilize the spreadsheet-like testing interface. You can create extensive test suites by inputting real-world data scenarios as test cases. This interface supports bulk actions, making test creation efficient.
3. Configure and Run Tests: Set up test configurations to compare different models (like OpenAI's GPT series, Anthropic's Claude, or Google's Gemini), parameters, and prompt versions side-by-side with just a few clicks.
4. Evaluate and Score: Score test results automatically using various methods. You can use natural language assertions (e.g., "the response should be positive"), pattern matching, or write custom JavaScript code for complex validation logic.
5. Analyze and Optimize: Dive into the data-driven insights and analytics from your test results. Beautiful visualizations and detailed logs help you identify the best-performing prompt and model combinations, allowing you to optimize for cost, latency, or accuracy.
6. Deploy with Confidence: Once you've perfected your prompt, deploy it instantly as a secure API endpoint. Langtail provides a fully typed TypeScript SDK and OpenAPI specifications for seamless integration into your application.
7. Secure and Monitor: Activate the one-click AI Firewall to protect your deployed application from prompt injections, DoS attacks, and data leaks. Continuously monitor your app's performance in production with comprehensive logs and metrics.

Core Features of Langtail

• Spreadsheet-like Testing Interface: An intuitive and familiar interface for creating, managing, and running test cases, making LLM testing accessible to everyone, not just developers.
• Comprehensive Test Scoring: Evaluate LLM outputs using natural language, regular expressions, or custom JavaScript assertions for flexible and powerful validation.
• AI Firewall: A built-in security layer that protects applications from common threats like prompt injection, denial-of-service (DoS) attacks, and information leaks with minimal configuration.
• Multi-Provider Support: Works seamlessly with all major LLM providers, including OpenAI, Anthropic, Google Gemini, Mistral, and more, allowing for easy model comparison and experimentation.
• Collaborative Playground: A central environment for teams to experiment with, debug, and refine prompts in real-time.
• Assistants with Memory: Create stateful AI assistants that automatically manage conversation history, simplifying the development of complex chatbot and agent-based applications.
• Developer-Friendly Tools: Includes a fully typed TypeScript SDK, OpenAPI support, and the ability to self-host for maximum security and data control.
• Logs, Metrics, and Analytics: Gain valuable insights from detailed logs and performance metrics to monitor your application in production and make data-driven decisions.
• Hosted Code Execution: Test prompts that call external tools by running the code directly and securely within Langtail's sandboxed environment.

Use Cases for Langtail

Langtail is essential for any application where LLM output reliability is crucial:

• Enterprise Chatbots: A Chevy dealership's AI chatbot went rogue, offering cars for $1. Langtail prevents such uncontrolled behavior by enabling rigorous testing and setting safety guardrails.
• Customer Support Systems: Air Canada was held liable for its chatbot providing incorrect fare information. Langtail helps ensure accuracy and consistency in chatbot responses, preventing costly misinformation.
• Content Generation Tools: An AI meal planner dangerously suggested adding chlorine gas. Langtail's testing and AI Firewall can filter out unsafe and harmful outputs, ensuring user safety.
• AI-Powered Product Features: Deepnote, a data science notebook, uses Langtail to simplify the development and testing of its AI features, saving their team hundreds of hours and enabling them to integrate AI more effectively.

Advantages of Langtail

• Increased Predictability and Control: Puts teams back in control of unpredictable LLM outputs through systematic testing and evaluation.
• Time and Cost Savings: Automates the tedious process of manual testing and debugging, saving hundreds of developer hours.
• Enhanced Security: The integrated AI Firewall provides an essential layer of protection against malicious attacks, critical for production-grade AI applications.
• Improved Team Collaboration: Breaks down silos by providing a unified platform for developers, product managers, and business teams to work together on prompts.
• Accessibility: The low-code, spreadsheet-like interface makes advanced LLM testing accessible to non-technical team members.
• Data-Driven Optimization: Enables teams to find the optimal combination of prompts, models, and parameters based on concrete test data.
• Flexibility and Control: Offers a self-hosting option for organizations with strict data privacy and security requirements.

Pricing and Plans

Langtail offers a tiered pricing structure to suit different needs:

• Free Plan: $0/month. Ideal for small projects. Includes unlimited users, 2 prompts or assistants, 1,000 logs per month, and 30 days of data retention.
• Pro Plan: $99/month + VAT. Perfect for solopreneurs. Includes 1 user, 20 prompts or assistants, unlimited logs, and 90 days of data retention.
• Team Plan: $499/month + VAT. The most popular choice for growing teams. Includes 10 users, unlimited prompts and assistants, unlimited logs, 1 year of data retention, plus Radars & Alerts and dedicated support.
• Enterprise Plan: Custom pricing. Designed for large organizations. Includes unlimited users and resources, the AI Firewall, dedicated support, and the option for self-hosting.